Your invoices live in SAP, your sourcing in Ariba, your case work in a platform bought a decade ago. Score Networks is a licensed SIGNET operator: we build governed translators that bring those systems into one canonical core — mapped, never synthesised — so every party, tool, and agent reads the same score.
Governed translators bring SAP, Ariba, and legacy systems into a SIGNET-canonical core — mapped, never synthesised, without a foreign shape ever crossing the membrane.
Four movements take a source feed from raw extract to trusted object — each mapped, validated, and provable against the standard.
Governed translators recast SAP, Ariba, and legacy records into valid SIGNET objects — transcription, not arrangement.
Nothing enters the core unless it is a valid SIGNET object. The write path refuses invalid records; ambiguity quarantines.
Per-batch balance checks: totals reconcile, counts match source, lifecycle sequences obey the state machine.
Every object carries provenance; every batch and rejection lands in a hash-chained trail. Audit by construction.
A translator recasts; it does not create. Where a source record is ambiguous, it quarantines — it never guesses. Every object carries its provenance, and every batch emits into a hash-chained trail. That discipline is what makes a canonical core worth trusting.

SAP invoice records recast into the EN 16931 / Peppol-aligned SIGNET Invoice, round-tripped to UBL. Credit memos by the semantic model, not sign-flips.
Ariba sourcing events, submissions, evaluations, and awards represented canonically — every lifecycle transition a hash-chained event.
Case platforms and bespoke line-of-business systems, specified economically and translated to the same standard — retirement planned from day one.
A canonical core synthetic agents can act on across organisational boundaries, with mandates and decision records.
A scoping conversation takes an hour. A mapping specification takes weeks, not quarters — and you'll know the full shape of the work before you commit to the build.
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